Multilingual Case Dataset Layout for Faster Adverse Event Reporting

Solution Overview

Problem

Existing systems face inefficiencies in generating and processing individual case safety reports (ICSRs) in multiple languages, requiring duplicate data processing and storage for each language, which increases time and resource consumption.

Innovation Solution

A multilingual data processing system that generates simultaneous case datasets in multiple languages by utilizing duolingual text fields and AI translation, reducing the need for duplicate data storage and processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If duplicate data processing and storage is performed for each language, then complete multilingual case datasets can be generated, but time consumption and resource usage increase

Engineering Contradiction:

Improvemultilingual data processing capabilityVSAvoidtime consumption

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent merges multiple language versions of case datasets into a single unified data structure. Instead of maintaining separate duplicate datasets for each language, the system combines them into one consolidated dataset that contains all language versions, thereby reducing processing time and resource consumption while maintaining complete multilingual capability.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The unified case dataset structure serves multiple language functions simultaneously. A single data structure can generate case datasets in multiple languages through configuration rather than requiring separate processing pipelines for each language, making the system universal and multi-functional across different language requirements.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If duplicate data processing and storage is performed for each language, then complete multilingual case datasets can be generated, but resource consumption increases

Engineering Contradiction:

Improvemultilingual data processing capabilityVSAvoidprocessing power and memory usage

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent merges multiple language versions of case datasets into a single unified data structure. Instead of maintaining separate duplicate datasets for each language, the system combines them into one consolidated dataset that contains all language versions, thereby reducing processing time and resource consumption while maintaining complete multilingual capability.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

Rather than processing and storing complete duplicate datasets for each language, the system creates lightweight language configuration copies that reference the unified data structure. This allows multiple language versions to be generated on-demand without duplicating the entire dataset in memory, significantly reducing memory usage and processing overhead.

Inventive Principle:

Principle #26Copying

3Adaptability or versatility

If separate case datasets are generated for each language, then language-specific requirements can be met, but data processing complexity increases

Engineering Contradiction:

Improvelanguage-specific data handlingVSAvoiddata processing complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges multiple language versions of case datasets into a single unified data structure. Instead of maintaining separate duplicate datasets for each language, the system combines them into one consolidated dataset that contains all language versions, thereby reducing processing time and resource consumption while maintaining complete multilingual capability.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The unified data structure is segmented into language-specific configurations and language-independent core data. This segmentation allows the system to handle language-specific requirements through configurable parameters while maintaining a single centralized data processing pipeline, reducing overall complexity compared to multiple separate processing systems.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260030462A1Systems and Methods for Multilingual Data Processing and Arrangement on a Multilingual User Interface

Publication Date: 2026.01.29 VEEVA SYSTEMS INC

AI summary

A method for generating a case dataset includes receiving adverse event data associated with one or more adverse events and receiving case localization data. The digital connection data includes a connection address, a connection format, and a connection identification. The method further includes determining general case data based on the adverse event data, the general case data including text data in the first language and multiple field codes. The method further includes modifying the general case data based on the connection format and providing the modified general case data and the connection identification to the connection address of the digital connection data. The method further includes receiving text data in a second language from the digital connection address. The method further includes generating the first case dataset including the text data in the second language and the multiple field codes and outputting the first case dataset.